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2024-10-26 4:33am
v3
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2 months ago
2024-10-10 5:22am
v2
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2 months ago
2024-10-10 3:30am
v1
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2 months ago
v2

2024-10-10 5:22am

Generated on Oct 10, 2024
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768 Total Images

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Dataset Split

Train Set 84%
642Images
Valid Set 11%
81Images
Test Set 6%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x800
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.26% of pixels

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